M3 Analytics components

Business Measurement Models (BMMs)

BMMs extract and transform the source data into an analytical data model that contains fact tables and dimension tables. The resulting star schema can be analyzed as is or be used as source for an OLAP cube.

Online Analytical Processing (OLAP) cubes

The OLAP cubes summarize data along defined dimensions and hierarchies. The cubes also contain dimensions for time and time-series analysis. You can use these to compare years or periods on various levels.

The OLAP cubes contain a set of dimensions and hierarchies. You can adjust these during implementation.

Entities

A widget is associated with a detail report and provides the user with deep integration to Self-Service through an ad hoc jump. These components are part of the entity concept that is used in M3 Analytics. Selection forwarding is provided within an entity.

Widgets with charts are designed to be used in a six-widget dashboard. Long category names can affect the chart's visibility. If the category name is 15 characters long or longer, then its substring (from Nth character to Nth character) will be replaced with three dots (ellipsis).

Dashboards

Dashboards enable a single view of several KPIs that are relevant to a specific business process. They present varied information such as summaries, key trends, comparisons, and exceptions through charts and graphs with metrics.

The dashboards delivered in M3 Analytics are designed to cover a business process within a single domain in a company and a specific topic within a domain in the company. Several dashboards in the Finance, Sales, Procurement, and Production domains are designed based on this logic.

Each dashboard is built up by several widgets. Within the dashboard, all widgets are connected with each other through the widget communication. If a user performs changes for one widget, for example changing a filter, that change is propagated through all widgets within the dashboard.